Deploying your Machine Learning Model

Code and instructions for techniques to quickly and easily deploy your machine learning model.

In this repo, you will find the code and instructions for this article. It is advised to read through the article whilst coding along using the jupyter notebooks in the notebooks folder.

This repo and the corresponding article describe several methods for creating a production-ready API:

• FastAPI + Uvicorn
• OpenAPI (Swagger) + ReDoc
• Docker
• Heroku